# linkedin/ml-ease

<https://repo.masters-masters.com/en/repos/linkedin/ml-ease>

[Home](https://repo.masters-masters.com/en) › [linkedin](https://repo.masters-masters.com/en/owners/linkedin) › [ml-ease](https://repo.masters-masters.com/en/repos/linkedin/ml-ease)

linkedin/ml-ease has 339 stars on GitHub. Its RepoMasters card: Alpha tier. ADMM based large scale logistic regression Language: Java.

| Field | Value |
| --- | --- |
| Owner | [linkedin](https://repo.masters-masters.com/en/owners/linkedin) |
| Stars | 339 |
| Forks | 75 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | Apache-2.0 |
| Created | 2014 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [linkedin/ml-ease](https://github.com/linkedin/ml-ease) |

## Repository

ADMM based large scale logistic regression

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.